STOR 520
Statistical Computing for Data Science.
University of North Carolina at Chapel Hill · UGRD · Fall 2026
1 section
Catalog description
This course provides hands-on experience working with data sets provided in class and downloaded from certain public websites. Lectures cover basic topics such as R programming, visualization, data wrangling and cleaning, exploratory data analysis, web scraping, data merging, predictive modeling, and elements of machine learning. Programming analyses in more advanced areas of data science. Students may not receive credit for both STOR 320 and STOR 520 .
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #north_carolina_chapel_hill-10320Fall 2026UGRD4 credits
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